@article {2841, title = {An Integrated Approach to Characterize the Behavior of a Human Fingertip in Contact with a Silica Window}, journal = {IEEE Transactions on Haptics}, volume = {10}, year = {2017}, month = {01/2017}, pages = {123-129}, abstract = {

Understanding the mechanisms of human tactual perception represents a challenging task in haptics and humanoid robotics. A classic approach to tackle this issue is to accurately and exhaustively characterize the mechanical behavior of human fingertip. The output of this characterization can then be exploited to drive the design of numerical models, which can be used to investigate in depth the mechanisms of human sensing. In this work, we present a novel integrated measurement technique and experimental set up for in vivo characterization of the deformation of the human fingertip at contact, in terms of contact area, force, deformation, and pressure distribution. The device presented here compresses the participant{\textquoteright}s fingertip against a flat surface, while the aforementioned measurements are acquired and experimental parameters such as velocity, finger orientation, and displacement (indentation) controlled. Experimental outcomes are then compared and integrated with the output of a 3D finite element (FE) model of the human fingertip, built upon existing validated models. The agreement between numerical and experimental data represents a validation for our approach.

}, keywords = {Haptics, Robotics}, issn = {1939-1412}, doi = { 10.1109/TOH.2016.2614679}, url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7579582}, author = {M. L. D{\textquoteright}Angelo and F. Cannella and M. Bianchi and M. D{\textquoteright}Imperio and E. Battaglia and M. Poggiani and G. Rossi and A. Bicchi and D. G. Caldwell} } @conference {2454, title = {Characterization of Nonlinear Finger Pad Mechanics for Tactile Rendering}, booktitle = {IEEE World Haptics Conference}, year = {2015}, note = {

softhands, werahap

}, pages = {63-68}, address = {Chicago, USA, 22-25 June 2015}, abstract = {

The computation of skin forces and deformations for\ tactilerendering\ requires an accurate model of the extremely\ nonlinear\ behavior of the skin. In this work, we investigate the\ characterization\ of\ fingermechanics\ with the goal of designing accurate\ nonlinear\ models for\ tactilerendering. First, we describe a measurement setup that enables the acquisition of contact force and contact area in the context of controlled\ finger\ indentation experiments. Second, we describe an optimization procedure that estimates the parameters of strain-limiting deformation models that match best the acquired data. We show that the acquisition setup allows the measurement of force and area information with high repeatability, and the estimation method reaches\ nonlinear\ models that match the measured data with high accuracy.

}, keywords = {Haptics, Robotics}, doi = {10.1109/WHC.2015.7177692}, url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=\&arnumber=7177692}, author = {E. Miguel and M. L. D{\textquoteright}Angelo and F. Cannella and M. Bianchi and M Memeo and A. Bicchi and D. G. Caldwell and M. A. Otaduy} } @inbook {1694, title = {HANDS.DVI: A DeVice-Independent programming and control framework for robotic HANDS}, booktitle = {Gearing up and accelerating cross-fertilization between academic and industrial robotics research in Europe - Technology transfer experiments from the ECHORD project}, volume = {94}, number = {Springer Tracts in Advanced Robotics}, year = {2014}, pages = {197-215}, abstract = {

The scientific goal of HANDS.DVI consists of developing a common
framework to programming robotic hands independently from their kinematics,
mechanical construction, and sensor equipment complexity. Recent results on the
organization of the human hand in grasping and manipulation are the inspiration
for this experiment. The reduced set of parameters that we effectively use to control
our hands is known in the literature as the set of synergies. The synergistic
organization of the human hand is the theoretical foundation of the innovative approach
to design a unified framework for robotic hands control. Theoretical tools
have been studied to design a suitable mapping function of the control action (decomposed
in its elemental action) from a human hand model domain onto the
articulated robotic hand co-domain. The developed control framework has been
applied on an experimental set up consisting of two robotic hands with dissimilar
kinematics grasping an object instrumented with force sensors.

}, keywords = {Haptics, Robotics}, doi = {10.1007/978-3-319-02934-4_10}, author = {G. Salvietti and G. Gioioso and M. Malvezzi and D Prattichizzo and A. Serio and E. Farnioli and M Gabiccini and A. Bicchi and I. Sarakoglou and N G Tsagarakis and D. G. Caldwell} } @conference {2119, title = {Haptic Exploration of Unknown Surfaces with Discontinuities}, booktitle = {Proc. IEEE/RSJ Intl Conf. on Intelligent Robots and Systems (IROS 2014)}, year = {2014}, month = {09/2014}, pages = {1255 - 1260}, address = {Chicago, USA}, keywords = {Haptics, Robotics}, doi = {10.1109/IROS.2014.6942718}, url = {http://kormushev.com/papers/Jamisola_IROS-2014.pdf}, author = {Jamisola, R. S. and Kormushev, P. and A. Bicchi and D. G. Caldwell} } @conference {2159, title = {Manipulation Framework for Compliant Humanoid COMAN: Application to a Valve Turning Task}, booktitle = {IEEE-RAS International Conference on Humanoid Robots (HUMANOIDS 2014)}, year = {2014}, pages = {664 - 670}, publisher = {IEEE}, organization = {IEEE}, address = {Madrid, Spain, November 18 - 20}, abstract = {

With the purpose of achieving a desired interaction performance for our compliant humanoid robot (COMAN), in this paper we propose a semi-autonomous control framework and evaluate it experimentally in a valve turning setup. The control structure consists of various modules and interfaces to identify the valve, locate the robot in front of it and perform the manipulation. The manipulation module implements four motion primitives (Reach, Grasp, Rotate and Disengage) and realizes the corresponding desired impedance profile for each phase to accomplish the task. In this direction, to establish a stable and compliant contact between the valve and the robot hands, while being able to generate the sufficient rotational torques depending on the valve{\textquoteright}s friction, Rotate incorporates a novel dual-arm impedance control technique to plan and realize a task-appropriate impedance profile. Results of the implementation of the proposed control framework are firstly evaluated in simulation studies using Gazebo. Subsequent experimental results highlight the efficiency of the proposed impedance planning and control in generation of the required interaction forces to accomplish the task.

}, keywords = {Haptics, Robotics}, doi = {10.1109/HUMANOIDS.2014.7041434}, url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=\&arnumber=7041434}, author = {A. Ajoudani and J. Lee and A. Rocchi and M. Ferrati and E. Mingo Hoffman and A Settimi and D. G. Caldwell and A. Bicchi and N G Tsagarakis} }